Modelling and Mapping Fine-Scale Vegetation Biomass in Banff National Park Using Remotely Sensed Data Collected by Unmanned Aerial Systems ...
Ecological investigations and long-term monitoring programs in grassland ecosystems often require detailed information on vegetation parameters across an area of interest. However, characterization of grassland vegetation is challenging using ground-based measurements or satellite imagery due to the...
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| Format: | Article in Journal/Newspaper |
| Language: | English |
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Arts
2020
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| Online Access: | https://dx.doi.org/10.11575/prism/37844 https://prism.ucalgary.ca/handle/1880/112057 |
| Summary: | Ecological investigations and long-term monitoring programs in grassland ecosystems often require detailed information on vegetation parameters across an area of interest. However, characterization of grassland vegetation is challenging using ground-based measurements or satellite imagery due to the fine-scale heterogeneity present in grasslands. Unmanned Aerial Systems (UASs) provide a way to characterize vegetation at a high spatial resolution, bridging the gap between ground-based measurements and satellite imagery. Motivated by the need for long-term monitoring of fine-scale vegetation parameters following the reintroduction of plains bison (Bison bison bison) to Banff National Park, Canada, this research explored how UAS-derived data could be used to estimate the aboveground biomass of vegetation at remote grassland sites in Banff’s bison reintroduction zone. I assessed the factors affecting quality of UAS-based vegetation estimation in previous research to design a series of analytical experiments. I ... |
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